In this article, we present several new permutations for I-matrices making these more suitable for incomplete LDU-factorization preconditioners used in solving linear systems by iterative methods. A general matrix can be transformed by row permutation as well as row and columns scaling into an I-matrix, i.e. a matrix having elements of modulus 1 on the diagonal and elements of modulus of no more than 1 elsewhere. Reordering rows and columns by the same permutation clearly preserves I-matrices. In this article, we consider such reordering techniques which make the permuted matrix more suitable for an incomplete LDU-factorization preconditioner than the original I-matrix. We use a multilevel ILUC, an incomplete LDU-factorization preconditione...
AbstractIn this paper a new ILU factorization preconditioner for solving large sparse linear systems...
Abstract. Maximum weight matchings have become an important tool for solving highly indefinite unsym...
This paper introduces techniques based on diagonal threshold tolerance when developing multi-elimina...
In this article, we present several new permutations for I-matrices making these more suitable for i...
Incomplete LU-factorizations have been very successful as preconditioners for solving sparse linear ...
AbstractIncomplete LU factorization preconditioners have been surprisingly successful for many cases...
Abstract. Incomplete LU factorization preconditioning techniques often have difficulty on indefinite...
Abstract Incomplete LU factorization preconditioning techniques often have difficulty on indefinite ...
A dual reordering strategy based on both threshold and graph reorderings is introduced to construct ...
In this paper a multilevel-like ILU preconditioner is introduced. The ILU factorization generates it...
Standard preconditioners, like incomplete factorizations, perform well when the coefficient matrix i...
Iterative ILU factorizations are constructed, analyzed and applied as preconditioners to solve both ...
Our goal is to solve a sparse skew-symmetric linear system efficiently. We propose a slight modifica...
In this paper a multilevel-like ILU preconditioner is introduced. The ILU factorization generates it...
a b s t r a c t In this paper a new ILU factorization preconditioner for solving large sparse linear...
AbstractIn this paper a new ILU factorization preconditioner for solving large sparse linear systems...
Abstract. Maximum weight matchings have become an important tool for solving highly indefinite unsym...
This paper introduces techniques based on diagonal threshold tolerance when developing multi-elimina...
In this article, we present several new permutations for I-matrices making these more suitable for i...
Incomplete LU-factorizations have been very successful as preconditioners for solving sparse linear ...
AbstractIncomplete LU factorization preconditioners have been surprisingly successful for many cases...
Abstract. Incomplete LU factorization preconditioning techniques often have difficulty on indefinite...
Abstract Incomplete LU factorization preconditioning techniques often have difficulty on indefinite ...
A dual reordering strategy based on both threshold and graph reorderings is introduced to construct ...
In this paper a multilevel-like ILU preconditioner is introduced. The ILU factorization generates it...
Standard preconditioners, like incomplete factorizations, perform well when the coefficient matrix i...
Iterative ILU factorizations are constructed, analyzed and applied as preconditioners to solve both ...
Our goal is to solve a sparse skew-symmetric linear system efficiently. We propose a slight modifica...
In this paper a multilevel-like ILU preconditioner is introduced. The ILU factorization generates it...
a b s t r a c t In this paper a new ILU factorization preconditioner for solving large sparse linear...
AbstractIn this paper a new ILU factorization preconditioner for solving large sparse linear systems...
Abstract. Maximum weight matchings have become an important tool for solving highly indefinite unsym...
This paper introduces techniques based on diagonal threshold tolerance when developing multi-elimina...